Evaluation of precipitation products over complex mountainous terrain: A water resources perspective

TL;DR: A 23-year integration of a Regional-Coupled Ocean-Atmosphere Model (RCOAM) centred over the Indian monsoon region is validated with observations and analysis for its seasonal climatology, evolution, and variability at intraseasonal and interannual scales as discussed by the authors.

TL;DR: In this article, the authors evaluated the ability of four satellite precipitation data sets (TMPA V7, TMPA RT, CMORPH and PERSIANN) to estimate the concentration index (CI), which is computed from HYBAM Observed Precipitation (HOP) data set.

TL;DR: Assimilation of TRMM and FY-2D remote sensing precipitation products using WRF 4D-Var can be viewed as a positive step toward improving the accuracy and lead time of numerical weather prediction models, particularly over regions with complex terrains.

TL;DR: In this article, a dataset collected in North Carolina during the 2014 Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign over a mountainous basin where the NOA...

TL;DR: The TRMM Multi-Satellite Precipitation Analysis (TMPA) as discussed by the authors provides a calibration-based sequential scheme for combining precipitation estimates from multiple satellites, as well as gauge analyses where feasible, at fine scales.

TL;DR: In this paper, the construction of a 10' latitude/longitude data set of mean monthly sur-face climate over global land areas, excluding Antarctica, was described, which includes 8 climate conditions: precipitation, wet-day frequency, temperature, diurnal temperature range, relative humid-ity, sunshine duration, ground frost frequency and windspeed.

TL;DR: PERSIANN as discussed by the authors is an automated system for precipitation estimation from Remotely Sensed Information using Artificial Neural Networks, which is developed for the estimation of rainfall from geosynchronous satellite longwave infared imagery (GOES-IR) at a resolution of 0.25° × 0.75° every half-hour.

TL;DR: In this article, the authors provide potential users of short-interval satellite rainfall estimates with information on the accuracy of such estimates, and compare the satellite-derived estimates of precip...